# Results for Two-Level Designs with General Minimum Lower-Order Confounding

```@article{Li2015ResultsFT,
title={Results for Two-Level Designs with General Minimum Lower-Order Confounding},
author={Zhi Ming Li and Runchu Zhang},
journal={The Scientific World Journal},
year={2015},
volume={2015}
}```
• Published 16 June 2015
• Computer Science
• The Scientific World Journal
The general minimum lower-order confounding (GMC) criterion for two-level design not only reveals the confounding information of factor effects but also provides a good way to select the optimal design, which was proposed by Zhang et al. (2008). The criterion is based on the aliased effect-number pattern (AENP). Therefore, it is very important to study properties of AENP for two-level GMC design. According to the ordering of elements in the AENP, the confounding information between lower-order…
1 Citation
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